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Chibuzor Nwachukwu

AI Governance & Responsible AI · AI Engineer · Product & Brand Strategist Lagos, Nigeria

I work at the point where AI systems get built and where they get governed. My background covers AI product management, AI engineering, brand strategy, and data science, which means I can sit in a model review and a governance review without switching vocabularies.

Current focus:

  • AI governance and risk management
  • Responsible AI and governance-by-design
  • Operational AI oversight and monitoring
  • Translating AI policy into product and engineering requirements

I write on this at Mission to Scale, covering agentic system failure modes, adversarial robustness, and the institutional gaps that show up once AI systems are already deployed. Twelve-plus articles, over a thousand subscribers.


Experience

AI Safety & Governance Researcher, Mission To Scale (Mar 2025 – Present) Publish research on AI governance, safety, and frontier-risk questions. Built frameworks for classifying and monitoring AI systems across their lifecycle, translating technical developments into governance questions for organizations and institutions.

AI Engineer & Analytics Innovation Manager, DecisionSpaak (Sep 2025 – Jan 2026) Built recommendation, analysis, and classification pipelines combining embeddings, rules, and structured AI flows. Designed production AI systems for reliability and traceability, working across engineering and product to reduce runtime failures.

AI Product Manager, Valor AI (Nov 2024 – Jan 2026) Translated agricultural business problems into product requirements and ML features. Led product lifecycle from concept through model training to prototype deployment, including a computer vision system for fruit identification and disease classification. Also led brand and visual identity for the company.

Data Scientist & Analyst, Wema Bank Plc. (May 2024 – Oct 2024) Built Power BI reporting used by compliance and operations teams. Developed and tuned Random Forest and Logistic Regression models reaching 88%+ precision and recall. Supported NDPA- and GDPR-aligned data governance across 500,000+ customer records.

Data Scientist, Metis Analytics (Apr 2023 – Mar 2024) Built geospatial data pipelines with Python and GeoPandas. Developed LLM-assisted workflows for geospatial research and automated data collection.


Skills

Python TensorFlow PyTorch scikit-learn FastAPI PowerBI Pandas Docker AWS PostgreSQL Git Figma

Governance & Policy: AI Governance · AI Risk Management · Responsible AI · Data Governance (NDPA/GDPR-aligned) · AI Policy Translation


Certifications

  • Product Management Certification
  • Data Analyst Associate
  • Data Literacy Certification
  • Data Governance Fundamentals

📫 Contact

Email LinkedIn Website Substack

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  1. missiontoscale/bluesky-scraper missiontoscale/bluesky-scraper Public

    This is a work of art that enables you to scrape data off BlueSky.

    Python 2

  2. six-degrees-of-crime six-degrees-of-crime Public

    The perfect method to link two suspects within just six steps. Implemented as a #BFS problem using the Six degrees of seperation method

    Python 4 1

  3. RAGer RAGer Public

    Forked from llm-attacks/llm-attacks

    Universal and Transferable Attacks on Aligned Language Models

    Python 2

  4. RAGiant RAGiant Public

    Forked from IntelLabs/LLMart

    LLM Adversarial Robustness Toolkit focused on Education use cases

    Python 1